Ontology highlight
ABSTRACT:
SUBMITTER: Hayes T
PROVIDER: S-EPMC4743660 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
Hayes Timothy T Usami Satoshi S Jacobucci Ross R McArdle John J JJ
Psychology and aging 20150921 4
In this article, we describe a recent development in the analysis of attrition: using classification and regression trees (CART) and random forest methods to generate inverse sampling weights. These flexible machine learning techniques have the potential to capture complex nonlinear, interactive selection models, yet to our knowledge, their performance in the missing data analysis context has never been evaluated. To assess the potential benefits of these methods, we compare their performance wi ...[more]